Technologies

AIDD is an integrated tool and a radically new way to discovery new drugs for neurodegenerative diseases (Alzheimer’s, Epilepsy, Ageing, etc.).

The virtual dynamic docking, carried out in the MOLBD3 lab of the Institute of Biophysics, allows the identification of new drugs through the structural information deriving from the study of target proteins, responsible for some human pathologies. In particular, we screen drugs or small molecules (commercial/own libraries) against known protein sites, surface cavities, surfaces of protein-protein interactions (fixed/rigid hotspots) or structural transition states (dynamic hotspots).

The technology based on cell or tissue cultures is very useful for the production of bioactive compounds. These molecules, depending on the class they belong to, can be used in the food, pharmaceutical and cosmetic industry. In particular, the developed technology is addressed to the optimization of bioactive compounds in plant cell/tissue cultures having the biosynthetic pathway of the compound of interest.

We have identified the presence of the poorly characterized precursor proNGF-A in human tissues, deposited its coding nucleotide sequence (GenBank MH358394) and demonstrated its neuroprotective and neurotrophic activity in vitro and in vivo. We inserted mutations into the native molecule, identified through computational analysis, which allow proNGF-A production by eukaryotic expression systems, through a method currently validated on a laboratory scale.

Therapeutic strategies targeting cell cycle in cancer have in general failed in the clinic since the drugs have lacked the therapeutic index required to achieve a robust response against cancer cells with little or no cytotoxic effect on normal cells. NEK6 kinase, which is implicated in cell cycle control, has recently emerged as an attractive target for the development of novel anticancer drugs with enhanced therapeutic index.

We have identified compounds that show a neuroprotective action in vivo, in models of neurodegenerative diseases (e.g. SMA, Parkinson, Alzheimer, Huntington) in the model organism C. elegans. These compounds consist of: mixtures of 22 natural extracts, 15 natural molecules and 11 synthetic molecules.

With the advent of senolytic agents, capable of selectively removing senescent cells in “aged” tissues, the perception of age-associated diseases has changed from being an inevitable to a preventable phenomenon of human life. The present invention is part of this research topic with the identification of molecules with potential pro-apoptotic activity, specifically with senolytic activity. The computational approach adopted, is based on combining ligand-base and structure-based virtual screening.

Filamentous bacteriophages for size, in vivo biodistribution and easiness of engineering, are considered as natural nanoparticles. The developed technology allows the construction of bio-nanoparticles based on filamentous bacteriophages delivering proteic antigens and immunomodulating lipids. Thanks to the high content of hydrophobic residues, phage capsid proteins have high binding affinity to lipids, allowing the conjugation of immunostimulating lipids.

Safe, efficient and specific nano-delivery systems are increasingly needed for precision and regenerative medicine and targeted therapies (e.g. anticancer and antimicrobial therapies), as well as for  the cosmetic and nutraceutical sectors’ applications. Despite the appreciable success of synthetic nanovectors, like for example liposomes, their clinical and market application is hampered by some limitations: • large scale production, • low cost production • intrinsic toxicity • limited cellular uptake • limited consumer acceptance.